Science + music = productivity

17 05 2018

da2a4c4015f37dcd15015a2bfcef2a2dA take on a small section of my recent book, The Effective Scientist, about the importance of music in science.

I don’t know any scientists who don’t love music, and I will go out on a limb by stating that most of us probably combine our science activities with music during the quieter times in front of the computer.

One tool that can effectively mask distractions when writing or coding, especially noisy ones, is music. I consider my earphones to be an essential tool of the science trade, for they allow me to ‘tune out’ as I ‘tune in’ to my favourite mood music.

However, a little caution is required here. If the music is set to loud to mask the ambient noises that you are presently finding annoying, you might discover that your capacity to concentrate is reduced. The style of music is also important. When I am writing actual text, anything that could induce the slightest foot tapping or head banging tends to send me off into space; I prefer something light and instrumental in these circumstances, like Vivaldi, Mozart, or Miles Davis.

On the contrary, if I am merely transcribing data, coding, analysing, or creating display items, then I tend to go more for heavy metal or electronica to set an intense pace. While this is absolutely a personal choice, you might do well inevitably to find some combination of music styles that works best for you.

I’m going to use this occasion though to list my top-10 metal/hard-core tracks that I find particularly good for coding. Somehow for me, heavy metal and coding go together like Vegemite and toast (but the combination doesn’t work for writing papers, although at this very moment I’m listen to some of the tracks listed below). This list is also a little window into my own frustration with the Anthropocene and the political inertia about limiting the damage we humans are doing to our own life-support system.

In no particular order, here are my top-10 heavy-metal/coding/angst/frustration tunes (listen to the lyrics — they help): Read the rest of this entry »





Why do they take so long?

4 05 2018

phd1This is probably more of an act of self-therapy on a Friday afternoon to alleviate some frustration, but it is an important issue all the same.

An Open Letter to academic publishers:

Why, oh why, do some of you take so bloody long to publish our papers online after acceptance?

I have been known to complain about how the general academic-publishing industry makes sickening amount of profit on the backs of our essentially free labour, and I suppose this is just another whinge along those lines. Should it take weeks to months to publish our papers online once they are accepted?

No. it shouldn’t.

I’m fully aware that most publishing companies these days outsource the actual publishing side of things to subcontracting agencies (and I’ve noticed more and more that these tend to be in developing nations, probably because the labour is cheaper), and that it can take someone some time to work through the backlog of Word or Latex documents and produce nice, polished PDFs. Read the rest of this entry »





Prioritising your academic tasks

18 04 2018

The following is an abridged version of one of the chapters in my recent book, The Effective Scientist, regarding how to prioritise your tasks in academia. For a more complete treatise of the issue, access the full book here.

splitting tasks

Splitting tasks. © René Campbell renecampbellart.com

How the hell do you balance all the requirements of an academic life in science? From actually doing the science, analysing the data, writing papers, reviewing, writing grants, to mentoring students — not to mention trying to have a modicum of a life outside of the lab — you can quickly end up feeling a little daunted. While there is no empirical formula that make you run your academic life efficiently all the time, I can offer a few suggestions that might make your life just a little less chaotic.

Priority 1: Revise articles submitted to high-ranked journals

Barring a family emergency, my top priority is always revising an article that has been sent back to me from a high-ranking journal for revisions. Spend the necessary time to complete the necessary revisions.

Priority 2: Revise articles submitted to lower-ranked journals

I could have lumped this priority with the previous, but I think it is necessary to distinguish the two should you find yourself in the fortunate position of having to do more than one revision at a time.

Priority 3: Experimentation and field work

Most of us need data before we can write papers, so this is high on my personal priority list. If field work is required, then obviously this will be your dominant preoccupation for sometimes extended periods. Many experiments can also be highly time-consuming, while others can be done in stages or run in the background while you complete other tasks.

Priority 4: Databasing

This one could be easily forgotten, but it is a task that can take up a disproportionate amount of your time if do not deliberately fit it into your schedule. Well-organised, abundantly meta-tagged, intuitive, and backed-up databases are essential for effective scientific analysis; good data are useless if you cannot find them or understand to what they refer. Read the rest of this entry »





My interview with Conservation Careers

10 04 2018

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The online job-search engine and careers magazine for conservation professionals — Conservation Careers — recently published an interview with me written by Mark Thomas. Mark said that he didn’t mind if I republished the article here.

As we walk through life we sometimes don’t know where our current path will take us. Will it be meaningful, and what steps could we take? Seeking out and talking to people who have walked far ahead of us in a line of work that we are interested in could help shape the next steps we take, and help us not make the same mistakes that could have cost us precious time.

A phrase that I love is “standing on the shoulders of giants” and this conversation has really inspired me — I hope it will do for you as well.

Corey Bradshaw is the Matthew Flinders Fellow in Global Ecology at Flinders University, and author to over 260 hundred peer-reviewed articles. His research is mainly in the area of global-change ecology, and his blog ConservationBytes critiques the science of conservation and has over 11,000 followers. He has written books, and his most recent one ‘The Effective Scientist’ will be published in March (more on this later).

What got you interested in ecology and conservation?

As a child I grew up in British Columbia, Canada, my father was a fur trapper, and we hunted everything we ate (we ate a lot of black bear). My father had lots of dead things around the house and he prepared the skins for the fur market. It was a very consumptive and decidedly non-conservation upbringing.

Ironically, I learnt early in life that some of the biggest impediments to deforestation through logging was the trapping industry, because when you cut down trees nothing that is furry likes to live there. In their own consumptive ways, the hunters were vocal and acted to protect more species possibly than what some dedicated NGOs were able to.

So, at the time, I never fully appreciated it, but not having much exposure to all things urban and the great wide world, and by spending a lot of time out in the bush, I ended up appreciating the conservation of wild things even within that consumptive mind-set. Read the rest of this entry »





The Effective Scientist

22 03 2018

final coverWhat is an effective scientist?

The more I have tried to answer this question, the more it has eluded me. Before I even venture an attempt, it is necessary to distinguish the more esoteric term ‘effective’ from the more pedestrian term ‘success’. Even ‘success’ can be defined and quantified in many different ways. Is the most successful scientist the one who publishes the most papers, gains the most citations, earns the most grant money, gives the most keynote addresses, lectures the most undergraduate students, supervises the most PhD students, appears on the most television shows, or the one whose results improves the most lives? The unfortunate and wholly unsatisfying answer to each of those components is ‘yes’, but neither is the answer restricted to the superlative of any one of those. What I mean here is that you need to do reasonably well (i.e., relative to your peers, at any rate) in most of these things if you want to be considered ‘successful’. The relative contribution of your performance in these components will vary from person to person, and from discipline to discipline, but most undeniably ‘successful’ scientists do well in many or most of these areas.

That’s the opening paragraph for my new book that has finally been release for sale today in the United Kingdom and Europe (the Australasian release is scheduled for 7 April, and 30 April for North America). Published by Cambridge University Press, The Effective ScientistA Handy Guide to a Successful Academic Career is the culmination of many years of work on all the things an academic scientist today needs to know, but was never taught formally.

Several people have asked me why I decided to write this book, so a little history of its genesis is in order. I suppose my over-arching drive was to create something that I sincerely wish had existed when I was a young scientist just starting out on the academic career path. I was focussed on learning my science, and didn’t necessarily have any formal instruction in all the other varied duties I’d eventually be expected to do well, from how to write papers efficiently, to how to review properly, how to manage my grant money, how to organise and store my data, how to run a lab smoothly, how to get the most out of a conference, how to deal with the media, to how to engage in social media effectively (even though the latter didn’t really exist yet at the time) — all of these so-called ‘extra-curricular’ activities associated with an academic career were things I would eventually just have to learn as I went along. I’m sure you’ll agree, there has to be a better way than just muddling through one’s career picking up haphazard experience. Read the rest of this entry »





Research in Translation

11 12 2017

Do you enjoy the challenge of communicating complex scientific ideas and conservation issues to the general public? Current Conservation is looking for submissions of reader-friendly summaries of recently published research papers in conservation science!
CC

Current Conservation is a quarterly magazine that communicates conservation science in an accessible manner to a wide audience. Our magazine combines art and science to communicate the latest in research concepts and news from both the natural and social science facets of conservation, encompassing ecology, wildlife biology, conservation biology, environmental history, anthropology and sociology, ecological economics, and related fields of research.

Your summary (~ 250-300 words) should be written in a simple jargon-free way that conveys the nuances of the paper, but at the same time is easy and fun to read. You can find some examples here.
Read the rest of this entry »





100 papers that every ecologist should read

14 11 2017

o-SLEEP-LIBRARY-facebook

If you’re a regular reader of CB.com, you’ll be used to my year-end summaries of the influential conservation papers of that calendar year (e.g., 2016, 2015, 2014, 2013), as somewhat subjectively assessed by F1000 Prime experts. You might also recall that I wrote a post with the slightly provocative title Essential papers you’ve probably never read back in 2015 where I talked about papers that I believe at least my own students should read and appreciate by the time they’ve finished the thesis.

But this raised a much broader question — of all the thousands of papers out there that I should have read/be reading, is there a way to limit the scope and identify the really important ones with at least a hint of objectivity? And I’m certainly not referring to the essential methods papers that you have to read and understand in order to implement their recommended analysis into your own work — these are often specific to the paper you happen to be writing at the moment.

The reason this is important is that there is absolutely no way I can keep on top of my scientific reading, and not only because there are now over 1.5 million papers published across the sciences each year. If you have even the slightest interest in working across sub-disciplines or other disciplines, the challenge becomes more insurmountable. Finding the most pertinent and relevant papers to read, especially when introducing students or young researchers to the concepts, is turning into an increasingly nightmarish task. So, how do we sift through the mountain of articles out there?

It was this question that drove the genesis of our paper that came out only today in Nature Ecology and Evolution entitled ‘100 articles every ecologist should read‘. ‘Our’ in this case means me and my very good friend and brilliant colleague, Dr Franck Courchamp of Université Paris-Sud and the CNRS, with whom I spent a 6-month sabbatical back in 2015. Read the rest of this entry »